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A collection of query-based summaries sourced from the Clinical Inquiries section of the Journal of Family Practice. The data are formatted in XML and are annotated with: The clinical question; The answer(s) to the question; The evidence grade of the ...

Category Human Annotated

ConText is based on a negation algorithm called NegEx. ConText's input is a sentence with indexed clinical conditions; ConText's output for each indexed condition is the value for contextual features or modifiers. The initial versions of ConText determine ...

CRC Annotators were created to support the extraction of tumor stage, TNM descriptors, lymph nodes and resection margin status from clinical notes. Prostate cancer annotators can be used to extract Gleason's score from the unstructured notes. These annota ...

  The Clinical and Translational Science Awards (CTSAs) program supports a national consortium of medical research insti-tutions designed to transform how biomedical research is conducted. Its goals are to speed the translation of laboratory disc ...

Category Online Community
CliNER

Open-source natural language processing system for named entity recognition in clinical text of electronic health records. CliNER will identify clinically-relevant entities mentioned in a clinical narrative (such as diseases/disorders, signs/symptoms, med ...

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CLAMP - Clinical Language Annotation, Modeling and Processing toolkit

CLAMP is a comprehensive clinical Natural Language Processing (NLP) software that enables recognition and automatic encoding of clinical information in narrative patient reports. It provides not only state-of-the-art NLP components but also a user-friendl ...

Category Software
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Work in progress of Dr. Jonnalagadda's K99/R00 project at Mayo Clinic and Northwestern University: The use of clinical knowledge systems such as UpToDate that provide reliable information at the point of care has been shown to improve patient safety and ...

caBIG® stands for the cancer Biomedical Informatics Grid®. caBIG® is an information network enabling members of the cancer community – researchers, physicians, and patients – to share data and knowledge.  The components of caBIG® are widely applicable bey ...